New framework boosts the accuracy of disease risk prediction from genetic data
Investigators at Cedars-Sinai Health Sciences University have developed a computational framework to improve how genetic data is used to estimate an individual's inherited risk of developing conditions like Alzheimer's disease, type 2 diabetes, high blood pressure and breast cancer.
<p>Investigators at Cedars-Sinai Health Sciences University have developed a computational framework to improve how genetic data is used to estimate an individual's inherited risk of developing conditions like Alzheimer's disease, type 2 diabetes, high blood pressure and breast cancer.</p>